{"id":"W3215214493","doi":"10.1145/3473973","title":"Graph Neural Collaborative Topic Model for Citation Recommendation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Citation; Pairwise comparison; Graph; Information retrieval; Knowledge graph; Artificial neural network; Information overload; Data science; Artificial intelligence; Machine learning; Theoretical computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00131062,0.0008877128,0.001357709,0.002563164,0.0005530996,0.001236496,0.002427405,0.002207062,0.00351356],"category_scores_gemma":[0.005487158,0.0004851269,0.001255994,0.00431988,0.0005256552,0.003079261,0.0006452528,0.001757164,0.001693412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518985,"about_ca_system_score_gemma":0.001069451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603253,"about_ca_topic_score_gemma":0.02777735,"domain_scores_codex":[0.9993394,0.0002040825,0.0000399118,0.0002103977,0.0001368494,0.00006933927],"domain_scores_gemma":[0.9986258,0.0008141765,0.0001385704,0.0001115382,0.0002550432,0.00005496483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002926185,0.0002836907,0.004040249,0.0003568548,0.0003231514,0.0001768063,0.0002656505,0.7455272,0.002152822,0.05244806,0.01421129,0.1799215],"study_design_scores_gemma":[0.00001075482,0.0000128554,0.0002658243,0.000007423059,0.00002744075,0.00001733309,0.000006462645,0.9872367,0.0001309324,0.01141724,0.0008592271,0.000007758222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06553411,0.006094083,0.9143344,0.001746658,0.0002816149,0.0001202332,0.00189825,0.002103599,0.007886915],"genre_scores_gemma":[0.8238143,0.005348666,0.1418731,0.0006147679,0.0007119492,0.0004542647,0.004445437,0.0002382417,0.02249923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9974368,"threshold_uncertainty_score":0.05176204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296698371935009,"score_gpt":0.276904698131039,"score_spread":0.2339377144116889,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}